Performance analysis of information hiding

Shuichi Shimizu

doi:10.1117/12.465300

29 April 2002 Performance analysis of information hiding

Shuichi Shimizu

Proceedings Volume 4675, Security and Watermarking of Multimedia Contents IV; (2002) https://doi.org/10.1117/12.465300
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

Information hiding in host data, or transparent digital watermarking, can be treated as an application of digital communications in which the hidden information is conveyed through a channel where the noise includes the host data and stems from other sources. The amount of information to be hidden is called the payload. At the detector, the hidden information (the watermark) should be retrieved with high confidence. We present a theoretical performance analysis of this information hiding problem in terms of payload, detection error rate, SNR, bandwidth of the watermarking channel, and channel coding for error correction. The detector is assumed to be a correlator, which is known to be optimal for Gaussian noise. However, our analysis does not require that the host data has a Gaussian distribution. Since our analysis does not depend on the synchronization between the watermark signal and the detector or on the maximum watermark power as constrained by preserving the fidelity, our result defines the theoretical performance limits. We present two decision rules designed to satisfy the given false alarm and code word error rate, based on energy detection and SNR estimation. We then apply two watermarking schemes, one with constant strength and the other with adaptive strength, in order to determine the watermarking design parameters by examining how the SNR is decreased against random and quantization noises.

Citation Download Citation

Shuichi Shimizu "Performance analysis of information hiding", Proc. SPIE 4675, Security and Watermarking of Multimedia Contents IV, (29 April 2002); https://doi.org/10.1117/12.465300

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available